JP2010520552A - Method and system for evaluating media and media events based on physiological data - Google Patents

Abstract

Various embodiments of the present invention enable a bottom-up analysis technique that derives physiological responses from measured physiological data of media viewers and calculates event type instance scores based on the physiological responses. And In addition to evaluating each event instance, the scores are then aggregated and the event type is evaluated. The method can also form an overall assessment of the media by aggregating event assessments for a set of event types within the media.
[Selection] Figure 1

Description

  The present invention relates to the field of media and event evaluation based on physiological responses from viewers.

  Traditional approaches to analyzing audience responses to media focus on top-down observations based on averaged responses to statistics, viewer “knobs”, physiological data or other rating mechanisms. Because viewers typically remember only a few major events and forget others, the perceived bias of each individual viewer limits the analysis accuracy of this observation. As such, even if there are other positive events during the viewer's media experience, one or two negative events in the media can dominate what the viewer will think of the media later.

  Physiological data, including but not limited to heart rate, electroencephalogram, movement, muscle movement, electrocutaneous response, and other responses of the media viewer, track emotional changes during the time the viewer is watching the media. Can give. However, such data itself does not create an objective criteria for the media that allows the media or its events to be objectively investigated and / or compared against other instances of the media or events. .

  Various embodiments of the present invention enable a bottom-up analysis technique that derives physiological responses from measured physiological data of media viewers and calculates event type instance scores based on the physiological responses. And Then, in addition to scoring each event instance, the scores are aggregated to evaluate the event type. The method can also form an overall assessment of the media by aggregating assessments of the set of event types in the media.

FIG. 1 is a diagram of an example system that supports media and event evaluation according to one embodiment of the present invention. FIG. 2A is a flowchart illustrating an example process for supporting media and event evaluation according to one embodiment of the present invention. FIG. 2B is a flowchart illustrating an exemplary process for supporting media and event evaluation according to one embodiment of the invention. FIG. 3 illustrates an example integrated headset for use with one embodiment of the present invention. FIGS. 4 (a)-(c) show exemplary tracking of measured physiological responses and dividing lines as exemplary media, according to one embodiment of the present invention. FIG. 5 illustrates an exemplary profile of a joke in an advertisement generated in one embodiment of the present invention. FIG. 6 shows the overall event rating for three example event types in two movies, calculated according to one embodiment of the present invention.

  The present invention is illustrated by way of example and is not limited to the features in the accompanying drawings in which like reference numbers indicate similar elements. It should be noted that “one” or “several” embodiments in this specification are not necessarily the same embodiment, and such a representation is intended to mean at least one. is there.

  Effective media connected with the audience / viewer can elicit the desired emotional response, and it is established that the physiological response is an effective measure of the viewer's emotional changes. Various embodiments of the present invention enable a bottom-up analysis approach that derives physiological responses from measured physiological data of media viewers and calculates event type instance scores based on the physiological responses. To do. Thereafter, in addition to scoring each instance of the event, the scores are aggregated and the event type is evaluated. The technique can also form an overall assessment of the media by aggregating assessments of the set of event types in the media. Such an approach is to ensure that an event type instance is objectively measured relative to previous instances of the same event type in the media, and the current media is objectively measured relative to other media. Make it possible. In addition, based on the measured physiological data, the media is defined into one or more primary and repeatable event types, each having multiple event instances, for all event instances and all event types. Fragmentation and combination techniques that aggregate scores and measure the overall response of the viewer to the media may be employed. Since each step of the technique can be processed by a computer device, the entire technique can be automated, thereby allowing objective measurement of media that requires less human input or intervention.

  The main principle behind the present invention is that it is not possible to make judgments about the media by looking at individual responses to the media. As a non-limiting example, a movie with multiple major scenes (events) can only be accurately evaluated by a complete analysis of the audience response for each scene. Such an analysis will determine whether the intense scene is really intense, whether the love scene will distract or attract the viewer's interest, whether the viewer thought the joke was interesting, etc. It can include, but is not limited to. Only when these individual scene types are aggregated and evaluated as a whole, a movie can be objectively and automatically compared to other movies of the same genre. Furthermore, only by knowing the typical response expected for a particular scene (event type), a new instance of that scene can be objectively evaluated.

  FIG. 1 is a diagram of an example system that supports media and event evaluation, according to one embodiment of the present invention. In this figure, the components are depicted functionally separated, but such depiction is merely exemplary. It will be apparent to those skilled in the art that the components depicted in this figure may be combined arbitrarily or separated into separate software, firmware, and / or hardware components. Further, such components may be executed on the same computer device or a plurality of computer devices, regardless of how they are combined or separated, and a plurality of computer devices may be one or It will be apparent to those skilled in the art that they can be connected with more networks.

  Referring to FIG. 1, one or more sensors 103 are used to measure and record physiological data from each of a plurality of viewers 102 who are viewing media 101. Alternatively, an integrated sensor headset may be applied as described below. Here, media can be movies, videos, TV shows, TV commercials, advertisements, video games, interactive online media, printed materials, and any media where viewers can get information or be emotionally affected. It may be one or more of other media. Physiological data measured includes heart rate, electroencephalogram, electroencephalogram (EEG) signal, blink rate, breathing, movement, muscle movement, electrical skin reaction, and any other response correlated with emotional changes. Including, but not limited to. Each of the one or more sensors may be one or more of an electroencephalogram, accelerometer, blood oxygen sensor, galvanometer, electromyogram, and any other physiological sensor. . Physiological data of the body has been correlated with human emotional changes. Instead of utilizing statistics, knobs, or other biased response criteria, the present invention improves the data recorded and the granularity of those data by sensing the changes in the body's physiological data itself. . This is because the physiological response can be recorded many times per second.

  In some embodiments, the receiving module 104 is operable to receive and / or record physiological data for each of a plurality of viewers viewing the media. Physiological data may be measured and / or obtained by other methods and / or from a storage device. In some embodiments, the determination module 105 is operable to determine and record the occurrence and duration of one or more event types, each having multiple event instances that occur in the media. is there. The duration of each event instance in the media can be time-invariant, non-linear, or quasi-linear. In some embodiments, the definition of such an event occurs after the viewer's physiological data has been measured, and the determination module 105 determines the media based on the physiological data measured from the plurality of viewers. Are defined as one or more event types, each having a plurality of event instances in the media.

  In some embodiments, the evaluation module 106 derives a plurality of physiological responses from physiological data measured from a plurality of viewers, and based on the plurality of physiological responses, one of the media event types. It is operable to calculate a score for each of a plurality of event instances in one. Here, the physiological response may be one or more of thought, liking, engagement, immersion, physical involvement, valence, and vitality, It can be calculated from the EEG. The evaluation module is further operable to evaluate a particular event type by aggregating the event type instance scores after such a score is calculated. Further, the evaluation module may optionally evaluate the media by aggregating evaluations of media event types.

  2A-B are flowcharts illustrating an example process that supports media and event evaluation, according to one embodiment of the present invention. Although this figure shows functional steps in a particular order for purposes of illustration, the process is not limited to any particular order or configuration of steps. Those skilled in the art will appreciate that the various steps depicted in this figure may be omitted, rearranged, combined, and / or adapted in various ways.

  Referring to FIG. 2A, in step 201, physiological data from each of a plurality of viewers viewing the media is received or measured. Then, in step 202, based on physiological data measured from multiple viewers, the media is defined into multiple event types, each having multiple event instances within the media. In step 203, a plurality of physiological responses can be derived from the physiological data. In step 204, scores for each of a plurality of event instances of a particular event type are calculated based on the plurality of physiological responses, and in step 205, the scores of a plurality of event instances of a particular event type are aggregated. Thus, a specific event type is evaluated. Steps 204 and 205 may be repeated for each type of media, and the media itself may be evaluated in step 206 based on an aggregate assessment of the media event type.

  In some embodiments, physiological data may be utilized to define the media into key, repeated event instances / types that can be compared to other media in the same genre. Referring to FIG. 2B, before physiological data from each of a plurality of viewers watching the media is received or measured at step 202, at step 201 each includes multiple event instances within the media. The occurrence and duration of multiple event types can be determined and / or recorded. Steps 203-206 are similar to the steps shown in FIG. 2A.

  In some embodiments, an integrated physiological sensor capable of sensing multiple measurements of a biological response to measure physiological data while a viewer is watching a media event A headset may be worn on the viewer's head. The data is recorded in a computer program, which allows the viewer to interact with the media while wearing the headset. FIG. 3 shows an exemplary integrated headset for use with one embodiment of the present invention. The processing unit 301 is a microprocessor that digitizes physiological data and processes the data into physiological responses including but not limited to thought, engagement, immersion, physical engagement, incentives, vitality and others. . The triaxial accelerometer 302 senses head movement. The silicon stabilization strip 303 minimizes movement by fixing the headset and allows more robust sensing. The right EEG electrode 304 and the left EEG electrode 306 are dry electrodes placed in front of the forehead bone that do not require preparation for use. The electrode needs to be in contact with the skin, but no excessive pressure is required. The heart rate sensor 305 is a robust blood volume pulse sensor placed near the center of the forehead, and a battery module 307 that can be charged or exchanged is placed on one ear. A backside adjustable strap 308 is utilized to adjust the headset to a comfortable pressure setting for various sized heads.

  In some embodiments, the integrated headset is powered on with a push button and the viewer's physiological data is immediately measured and recorded. Data transfer may be handled wirelessly via a computer interface to which the headset is linked. No viewer skin preparation or gel is required to obtain accurate measurements, and the headset can be easily removed from the viewer and used immediately by other viewers, so In addition, many participants can be measured at low cost. The headset does not deteriorate during use, and the headset can be reused thousands of times.

  In some embodiments, the viewer's physiological response can be derived by a plurality of formulas using the viewer's physiological data as input. Facial expression recognition, “knobs”, and other emotion criteria can also be used as inputs with similar effectiveness. Each derived physiological response, including but not limited to “involvement”, “adrenaline”, “thinking” and “incentive”, combines physiological data from multiple sensors into a multidimensional It ’s easy to understand and expresses the emotional response of the viewer. FIG. 4 (a) shows an exemplary “engagement” tracking as measured by one embodiment of the present invention for a player playing Call of Duty 3 on Xbox 360. Tracking is a time-based graph with the beginning of the session on the left and the end on the right. Two sections (event instances) 401 and 402 are shown circled, but the left hand side 401 shows the low “engagement” during game play that occurs during the boring tutorial section, Shows the high “engaged” section recorded when the player experienced the first battle of the game.

  In some embodiments, the viewer's physiological response (eg, intense, boring, interesting, interested, etc.) in multiple instances of each event type is calculated and analyzed for each event. Events specific to the context for each event type, correlated with measures of such responses to the type (eg brand moments, product introductions, video game cuts, battles, level restarts, etc.)・ A profile is created. These profiles can then be used to evaluate each event instance that occurs in the new media. In some cases, thousands to millions of bottom-up measurements of the media are made across hundreds to thousands of participating viewers. By combining this large number of individual scores, the measurement accuracy of the entire media is much higher than when you ask a statistical survey question and get one hundred subjective responses, one hundred responses Rise. As a non-limiting example, for 100 viewers watching a movie with 1000 major event instances, 5 physiological responses for each viewer (e.g. thought, engagement, incentive, 6 mathematical permutations (eg, mean, deviation from mean, primary trend, secondary trend, positive) for each event instance based on the viewer's physiological response Response, negative response, etc.) are calculated. As a result, 3,000,000 (100 × 1000 × 5 × 6) scores are available for evaluating movies against 100-1000 measurements from statistics. These scores are then combined to create an overall rating of the movie, which is based on the strength of each event (scene)-whether the player likes the cut scene, the joke is interesting, the overall quality of the event, Strong and weak event types, strong and weak movie events-may include, but are not limited to, intermediate events have resulted in strong responses but initiating events were not.

  In some embodiments, the occurrence and duration of an event instance or event type can be determined and recorded. As a non-limiting example, a video game event type may be defined to occur every time a “battle tank” appears on the player's screen and persist as long as it remains on the screen. As another non-limiting example, a movie event can be defined as occurring every time a joke is told. The event type may be defined so that an instance of the event type occurs only once for each medium. Alternatively, the event type may be defined such that many instances of the event type occur in the media.

  In some embodiments, event instances may be tagged for each recorded media to allow for effective and accurate conclusions. As a non-limiting example, FIG. 4 (b) shows two example trackings of video game player “engagement” data measured according to one embodiment of the present invention. Boxes 403, 404, and 405 in the figure correspond to the specific tagged “weapon use” event type. At each point where an event instance appears, “involvement” rises rapidly. The diagram in FIG. 4 (b) shows that one type of event is tagged, but this technique can be extended to tag many event instances with different event types, Allows to be fragmented. As another non-limiting example, FIG. 4 (c) shows an exemplary vertical line that divides media into event instances in accordance with one embodiment of the present invention. The main event types define each important thing that video game or other media players meet and / or interact with. Here, the physiological data / response overlaps with the tag of the event instance, and both can be turned on and off in concert.

  In some embodiments, a formula or rule may be used to generate a score for each event instance based on viewers' physiological data or responses during the event instance period. In one embodiment, a formula may be based on the desired response expertise of the event type of the instance, the formula being a weighted sum of changes in each of the physiological responses derived across the event instance. Can take form. As a non-limiting example, the formula may be defined by a weighted sum of multiple inputs from each physiological response over time (vector), each vector rising, falling, reaching a peak, It can extend higher, extend lower, or have distinct features. As a non-limiting example, there may be a physiological response profile to a joke drop that correlates how good the joke is based on the analysis of many advertisements. A profile can have two aspects. That is, first, the “thinking” vector of the physiological response should rise, indicating that the viewer had thought about what was happening just before the fall and during the first part of the fall, Second, when a fall was provided, the viewer's “incentive” or reward feeling increased, and the viewer liked the fall after being involved in thinking about the fall of the joke. Must show. Therefore, a mathematical profile is created for the joke event type, where the thinking and incentives increase at a specific point in time. Such a profile can be applied to each instance of a joke to calculate the effectiveness of the joke drop. A joke drop that does not fit in this reaction profile does not create a good experience for the viewer.

FIG. 5 shows an example profile of a joke drop in an advertisement generated according to one aspect of the present invention. The profile can be created by subject-related expertise or by mathematical formulas. If the physiological response of an instance of this event type matches this profile, the event instance is considered successful. As a non-limiting example, the following formula can be used to calculate the score of a joke instance: That is,
Score =. 25 × (thinking rise during joke fall) +. 75 × (Incentive after the fall of a joke)
It is. Here, the resulting weighting is 25% of the increase in thoughts during the joke fall period and 75% of the increase in incentive after the joke fall.

  In some embodiments, the score of the event instance in the media needs to improve or change the event instance, and / or which event instance should be improved or changed, and This can be used to indicate which event instances should be left based on the physiological response from the viewer. In the above non-limiting example, joke drops that do not match the reaction profile and do not create a good experience for the viewer should be improved.

  In some embodiments, the number of variables used in the scoring formula may be very large, and the formula may also be a higher order polynomial that performs non-linear scoring if desired. good. As a non-limiting example, a more complex version of the formula shown above will score based on how much thought and how much positive incentive exists at each point of the joke period. calculate. This penalizes a slight increase in thinking and incentives when people are not very interested in jokes, and is very large in thinking and incentives, corresponding to strong involvement in jokes Encourage falling jokes that have risen.

  In some embodiments, a set of logical rules defining an event instance as “good” or “successful” with a score exceeding a predetermined number may be applied, whereby the formula is Outputs a score that reflects how interesting it is. Other embodiments that utilize the scores for ordering or evaluation are also possible. Returning to the non-limiting example shown in FIG. 4 (b) where the weapon event type is tagged, a brief description of the profile for this event type is as follows: The instance is good. In this example, all event instances are good, which results in a high score for that event type. This calculation technique may be performed over hundreds of instances of multiple major event types.

In some embodiments, the formula may utilize previous instances of similar event types in the current and / or other media to calculate an instance score. A set of rules can be created with the viewer's physiological response over other similar events as input. As a non-limiting example, if the slope of involvement over an event period exceeds the average of slope of involvement over event instance periods of similar event types in other media, A score of 1 (representing “or“ success ”) may be given. There are many ways to implement this approach, and the following process is a non-limiting example of such an implementation.
1. Tags a large set of instances of certain event types in the media to physiological responses from viewers of these instances.
2. An evaluation mechanism that can evaluate each instance of the event type is selected.
3. Compute a variety of different mathematical measurements of the physiological response from the viewer over the duration of the event instance. Such measurements include mean, first derivative, second derivative, polynomial approximation, (standard) deviation from mean, (standard) deviation of derivative from mean, as well as peak formation in the middle, at the start Including, but not limited to, spiking and physiological response profiles that can be achieved by convolution or other methods that account for one or more of flatness, etc. .
4). Repeat step 3 for all physiological responses.
5). Convert multiple measurements into a defined output (score) for the event instance. Such a transformation can be performed by one or more of convolution, weighted sum, slope sign, polynomial formula, least squares, support vector machine, neural network, and other machine learning techniques.
6). The conversion in step 5 is repeated for all instances of the event type.

  The ranking, rating, or score for each event instance is calculated using this or any other similar technique, allowing the event type instances to be compared objectively.

  In some embodiments, a subset of the entire population of viewers can be aggregated to distinguish reactions related to that subset, which can be attributed to race, gender, age, purchasing habits, population. Group by one or more of statistics and income. An average rating of event types may be associated with and / or compared with such a grouping of viewers.

In some embodiments, the event instance scores for an event type may be aggregated as an input to a formula used to evaluate the event type. Here, the formula may be mathematical or logical and may be designed by expertise or by previous evaluation of similar event types. Such aggregation may be done by one or more of the following.
・ Average of each event type. This approach averages the scores of all event instances of an event type throughout the media and across a large number of viewers.
-Performance. A simple average does not always give an accurate view of the overall performance of the media. As a non-limiting example, if 75% of event instances are rated very high and the rest are not very good, the overall rating for that event type will be around 75-80% and may be considered good . In reality, however, viewers who view the media do not like a quarter of the media, which results in a very low score. The performance criteria takes into account the distribution of scores in the event type instances. By referring to the previous distribution of instances, the performance criteria can determine how well the overall distribution of instances is and whether the viewer prefers the event type / media. One non-limiting implementation of performance criteria can be realized by a histogram that matches the event type.
·"success rate. The formula outputs a percentage of “success” rates for each event type, or other score. More specifically, the “success” rate of an event type can be defined by an aggregated view of event type / media performance in a particular aspect characterized by the definition of the event type and exceeds a predetermined value. The “success” rate is defined as a successful event type.

  In some embodiments, the above evaluation process may be repeated for different event types within the same media. Furthermore, the media itself may be evaluated by evaluating various event types used as input to the evaluation formula. This evaluation formula or rule may also be based on expertise or previous physiological response to the media, as described above. As a non-limiting example, a media may be evaluated as “successful” if most of its event types are evaluated as “successful”. Alternatively, a media may be evaluated as “successful” if its event type is evaluated as “successful” more than other comparable media. Other rules, linear or other rating scales are also available. FIG. 6 shows the overall event rating for three example event types in two movies, calculated according to one embodiment of the present invention. The first movie is an action movie, which has a very strong response to “action-packed” and “suspension” event types, and a “geeky” event type such as a joke does not produce a strong response. The second movie is a comedy and produces the opposite reaction to an action movie. Both movies are given high ratings because the event type has the correct profile for a successful movie in that genre.

  As will be apparent to those skilled in the computer arts, one embodiment may be implemented utilizing a conventional general purpose or special purpose digital computer or microprocessor programmed according to the teachings herein. Appropriate software coding is readily prepared by experienced programmers based on the teachings herein, as will be apparent to those skilled in the software art. The present invention may also be implemented by preparing an integrated circuit or interconnecting a suitable network of conventional component circuits, as will be readily apparent to those skilled in the art.

  One embodiment is a machine readable including stored instructions that can be used to program one or more computing devices to perform any of the features disclosed herein. Includes computer program products that are media. Machine readable media include one or more types of disks, including ROM, RAM, EPROM, EEPROM, including floppy disks, optical disks, DVDs, CD-ROMs, micro drives, and magneto-optical disks. DRAM, VRAM, flash memory devices, magnetic or optical cards, nanosystems (including organic memory ICs), or any type of medium or device suitable for storing instructions and / or data, including It is not limited. The present invention, stored on any computer readable medium, takes advantage of the results of the present invention to control the hardware of a general purpose / dedicated computer or microprocessor so that the computer or microprocessor can be a human viewer or other mechanism. Includes software that allows you to interact with. Such software may include, but is not limited to, device drivers, operating systems, execution environments / containers, and applications.

  The foregoing description of the preferred embodiment of the present invention has been provided for purposes of illustration and description. It is not intended to be exclusive and is not intended to limit the invention to the precise form disclosed. Many modifications and variations will be apparent to practitioners skilled in this art. In particular, in the system and method embodiments described above, the concept of “module” is used, which is a class, method, type, interface, bean, component, object model, and other suitable concepts. It is clear that it can be used interchangeably with such an equivalent concept. The embodiments have been selected and described in order to best explain the principles and practical applications of the invention, so that others skilled in the art can use the invention, the various embodiments, and the contemplates. It makes it possible to understand various modifications that are suitable for the particular application being made. It is intended that the scope of the invention be determined by the appended claims and their equivalents.

101 media, 102 viewers, 103 determination module, 104 sensor, 105 reception module, 106 evaluation module.

Claims (32)

A system that supports the evaluation of media and events,
One or more sensors operable to measure physiological data from each of a plurality of viewers viewing the media;
Based on the physiological data measured from the plurality of viewers, a decision operable to determine the media into one or more event types each having a plurality of event instances within the media. Module,
An evaluation module,
Deriving a plurality of physiological responses from the physiological data measured from the plurality of viewers;
Calculating a score for each of the plurality of event instances of a particular event type of the one or more event types in the media based on the plurality of physiological responses;
Evaluating the specific single event type by aggregating the scores of the plurality of event instances of the specific single event type;
An evaluation module operable to
A system comprising: A system that supports the evaluation of media and events,
A decision module operable to determine and record the occurrence and duration of one or more event types, each having multiple event instances in the media;
A receiving module operable to receive physiological data from each of a plurality of viewers viewing the media;
An evaluation module,
Deriving a plurality of physiological responses from the physiological data;
Calculating a score for each of the plurality of event instances of a particular event type of the one or more event types in the media based on the plurality of physiological responses;
Evaluating the specific single event type by aggregating the scores of the plurality of event instances of the specific single event type;
An evaluation module operable to
A system comprising: The system of claim 2, comprising:
The system wherein the receiving module is further operable to record the physiological data measured from each of the plurality of viewers viewing the media. The system of claim 1, comprising:
The media may be movies, videos, television programs, television commercials, advertisements, video games, interactive online media, prints, and any other that viewers may obtain information or affect emotionally. A system that is one of the media. The system of claim 1, comprising:
A system in which the duration of each of the one or more event types in the media is time-invariant, non-linear or quasi-linear.   2. The system of claim 1, wherein each of the one or more sensors is an electroencephalogram, accelerometer, blood oxygen sensor, galvanometer, electromyogram, and any other physiological sensor. A system that is one of them. The system of claim 1, comprising:
The one or more sensors include an integrated sensor headset, the integrated sensor headset comprising:
One or more axial accelerometers,
One or more EEG electrodes,
One or more heart rate sensors,
And a processing unit,
A system comprising one or more of the following.   The system of claim 1, wherein the physiological data is correlated with heart rate, brain waves, EEG signals, blink rate, breathing, movement, muscle movement, electrodermal response, and emotional changes. A system that is one or more of the reactions.   The system of claim 1, wherein the physiological response is one or more of thought, preference, involvement, immersion, physical involvement, incentive, and animation. The system of claim 1, wherein the evaluation module further comprises:
Calculating a mathematical measure of the plurality of physiological responses that is one or more of an average, a derivative, a polynomial approximation, a deviation from the mean, and a deviation of the derivative from the mean;
The plurality of the specific event types are obtained by one or more of convolution, weighted sum, slope sign, polynomial formula, least squares method, support vector machine, and neural network. Convert to a score for each event instance in
System that is operable. The system of claim 1, comprising:
The evaluation module may further include formulas, rules, previous instances of the one particular event type in this media or other media of the same genre, or one of the plurality of physiological responses to the one particular event type. A system operable to calculate a score for each of the plurality of event instances of the particular event type using one or more of one or more profiles. 12. The system according to claim 11, wherein
The system is further operable to calculate a good score for the event instance of the particular one event type if the physiological response to the event instance matches the profile. 12. The system according to claim 11, wherein
The evaluation module is further operable to indicate one or more of the plurality of event instances of the particular single event type that need improvement or modification based on their scores. System. 12. The system according to claim 11, wherein
The system is further operable to determine the profile based on one or more of expertise, physiological responses to similar event types, and data from other media. The system of claim 1, comprising:
The system wherein the evaluation module is further operable to evaluate the particular one event type according to one or more of average, performance, mathematical formula and logical formula. The system of claim 1, comprising:
The system wherein the evaluation module is further operable to evaluate the media by aggregating evaluations of the one or more event types in the media. The system of claim 1, comprising:
The evaluation module is further configured to display the score / evaluation of one or more of the media, the specific event type, and a plurality of event instances of the specific event type. A system that is operational. The system of claim 1, comprising:
The evaluation module further comprises:
Group the viewers by one or more of race, gender, age, demographics, income, habits and interests;
According to such grouping of the plurality of viewers, the score of one or more of the media, the one particular event type, and a plurality of event instances of the one particular event type / A system that is operable to associate and / or compare ratings. A method of supporting the evaluation of media and events,
Receiving and / or measuring physiological data from each of a plurality of viewers viewing the media;
Determining the media into one or more event types, each having a plurality of event instances in the media, based on the physiological data measured from the plurality of viewers;
Deriving a plurality of physiological responses from the physiological data;
Calculating a score for each of the plurality of event instances of a particular event type among the one or more event types in the media based on the plurality of physiological responses;
Aggregating the scores of the plurality of event instances of the one particular event type to evaluate the one particular event type;
A method comprising: A method of supporting the evaluation of media and events,
Determining and recording the occurrence and duration of one or more event types, each having multiple event instances in the media;
Receiving and / or measuring physiological data from each of a plurality of viewers viewing the media;
Deriving a plurality of physiological responses from the physiological data;
Calculating a score for each of the plurality of event instances of a particular event type among the one or more event types in the media based on the plurality of physiological responses;
Aggregating the scores of the plurality of event instances of the one particular event type to evaluate the one particular event type;
A method comprising: The method of claim 19, further comprising:
Calculating one or more of the mathematical measurements of the physiological data: mean, derivative, polynomial approximation, deviation from mean, and deviation of derivative from mean;
The mathematical measurement is converted into the plurality of the specific event types by one or more of convolution, weighted sum, slope sign, polynomial formula, least squares method, support vector machine, and neural network. Converting to a score for each event instance of
A method comprising: The method of claim 19, further comprising:
One or more of the plurality of physiological responses to the particular event type, or a previous instance of the particular event type in a formula, rule, this media or other media of the same genre Calculating the score for each of the plurality of event instances of the one particular event type using one or more of the profiles. The method of claim 22, further comprising:
A method comprising calculating a good score for the event instance of the particular one event type if the physiological response to the event instance matches the profile. The method of claim 22, further comprising:
A method comprising the step of indicating one or more of the plurality of event instances in need of improvement or change based on their scores. The method of claim 22, further comprising:
A method comprising determining the profile based on one or more of expertise, physiological responses to similar event types, and data from other media. The method of claim 19, further comprising:
A method comprising the step of evaluating the particular one event type according to one or more of average, performance, mathematical formula, and logical formula. The method of claim 19, further comprising:
A method comprising evaluating the media by aggregating evaluations of one or more event types in the media. The method of claim 19, further comprising:
Recording the physiological data measured from each of the plurality of viewers viewing the media. The method of claim 19, further comprising:
A method comprising displaying one or more of the scores / evaluations of the media, the particular event type, and the plurality of event instances of the particular event type. The method of claim 19, further comprising:
Grouping the plurality of viewers by one or more of race, gender, age, demographics, income, habits and interests;
According to such grouping of the plurality of viewers, one or more of the media, the one particular event type, and the plurality of event instances of the one particular event type. Associating and / or comparing scores / ratings;
A method comprising: A machine-readable medium that, when executed, receives and / or measures physiological data from each of a plurality of viewers viewing the media;
Based on the physiological data measured from the plurality of viewers, determining the media as one or more event types, each having a plurality of event instances in the media;
Deriving a plurality of physiological responses from the physiological data;
Calculating a score for each of the plurality of event instances of a particular event type of the one or more event types in the media based on the plurality of physiological responses;
Evaluating the specific single event type by aggregating the scores of the plurality of event instances of the specific single event type;
A machine-readable medium having stored instructions that operate as follows. A system that supports the evaluation of media and events,
Means for determining and recording the occurrence and duration of one or more event types, each having multiple event instances in the media;
Means for receiving and / or measuring physiological data from each of a plurality of viewers viewing the media;
Means for deriving a plurality of physiological responses from the physiological data;
Means for calculating a score for each of the plurality of event instances of a particular event type of the one or more event types in the media based on the plurality of physiological responses;
Means for evaluating the one particular event type by aggregating scores of the plurality of event instances of the one particular event type;
A system comprising:

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